Hitachi Energy AI ML Engineer 2026 | Freshers | Chennai — Apply Now
Job Description
About the Role
This role involves developing and supporting end-to-end AI/ML pipelines, including data ingestion, training, evaluation, and deployment. You will work on building and integrating Generative AI solutions, such as LLM assistants, RAG systems, and domain chatbots. Additionally, you will assist in architecting cloud-based AI/ML and GenAI resources, including compute, storage, and AI services.
Key Responsibilities
- Develop and support end-to-end AI/ML pipelines, including data ingestion, training, evaluation, and deployment.
- Build and integrate Generative AI solutions, such as LLM assistants, RAG systems, and domain chatbots.
- Support agentic AI workflows where agents reason, plan, and coordinate tasks under defined guardrails.
- Assist in architecting cloud-based AI/ML and GenAI resources, including compute, storage, and AI services.
- Support MLOps and GenAIOps practices, including automation, versioning, monitoring, and lifecycle management.
- Collaborate with cross-functional teams to design and implement AI/ML solutions.
- Stay up-to-date with the latest advancements in AI/ML and GenAI technologies and apply them to real-world problems.
Skills & Qualifications
- Strong foundation in AI/ML and GenAI concepts, including deep learning and natural language processing.
- Proficiency in programming languages such as Python and JavaScript.
- Experience with cloud-based AI/ML platforms, including Azure.
- Knowledge of data science tools and techniques, including NumPy, Pandas, and Scikit-learn.
- Experience with MLOps and GenAIOps practices, including automation and versioning.
- Bachelor's degree in Computer Science, AI/ML, or a related field.
- Relevant certifications, such as Certified Data Scientist or Certified AI/ML Engineer.
What You'll Learn
In this role, you will have the opportunity to learn about the latest advancements in AI/ML and GenAI technologies and apply them to real-world problems. You will work with experienced professionals to design and implement AI/ML solutions, and you will have the chance to collaborate with cross-functional teams to drive business outcomes.
Resume Tip
When applying for this role, be sure to highlight your experience with cloud-based AI/ML platforms, including Azure. Also, be prepared to discuss your knowledge of data science tools and techniques, including NumPy, Pandas, and Scikit-learn. Additionally, be sure to include any relevant certifications, such as Certified Data Scientist or Certified AI/ML Engineer.
Skills Required
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